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  • Open Access

    ARTICLE

    An Ophthalmic Evaluation of Central Serous Chorioretinopathy

    L. K. Shoba1,*, P. Mohan Kumar2

    Computer Systems Science and Engineering, Vol.44, No.1, pp. 613-628, 2023, DOI:10.32604/csse.2023.024449

    Abstract Nowadays in the medical field, imaging techniques such as Optical Coherence Tomography (OCT) are mainly used to identify retinal diseases. In this paper, the Central Serous Chorio Retinopathy (CSCR) image is analyzed for various stages and then compares the difference between CSCR before as well as after treatment using different application methods. The first approach, which was focused on image quality, improves medical image accuracy. An enhancement algorithm was implemented to improve the OCT image contrast and denoise purpose called Boosted Anisotropic Diffusion with an Unsharp Masking Filter (BADWUMF). The classifier used here is to figure out whether the OCT… More >

  • Open Access

    ARTICLE

    Impact of Doctoral Student Training Process Fit on Doctoral Students’ Mental Health

    Fulin Li1, Chuanyi Wang1,*, Xiaoguang Yue2

    International Journal of Mental Health Promotion, Vol.24, No.2, pp. 169-187, 2022, DOI:10.32604/ijmhp.2022.020034

    Abstract Background: Doctoral students have much higher risk of anxiety or depression than general population. Doctoral students worldwide are facing varying degrees of mental health risks. Method: Based on the survey data of 6,812 doctoral students worldwide in Nature in 2019, Probit and Logit models are used to explore the correlation between the fit of doctoral education and training process and the mental health of doctoral students. Results: (1) The training environment fit of doctoral students has a significant positive impact on their mental health. (2) The academic profession fit of doctoral students has a significant positive impact on their mental… More >

  • Open Access

    ARTICLE

    Optimal Solution of Fuzzy Transportation Problem Using Octagonal Fuzzy Numbers

    D. Gurukumaresan1,*, C. Duraisamy1, R. Srinivasan2

    Computer Systems Science and Engineering, Vol.37, No.3, pp. 415-421, 2021, DOI:10.32604/csse.2021.014130

    Abstract In this paper a fuzzy transportation problem under a fuzzy environment is solved using octagonal fuzzy numbers. The transportation problem is significant and has been widely studied in the field of applied mathematics to solve a system of linear equations in many applications in science. Systems of concurrent linear equations play a vital major role in operational research. The main perspective of this research paper is to find out the minimum amount of transportation cost of some supplies through a capacitated network formerly the availability and the demand notes are octagonal fuzzy numbers. Octagonal fuzzy numbers are used and showed… More >

  • Open Access

    ARTICLE

    A Novel Design of Octal-Valued Logic Full Adder Using Light Color State Model

    Ahmed Talal, Osama Abu-Elnasr*, Samir Elmougy

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3487-3503, 2021, DOI:10.32604/cmc.2021.015759

    Abstract Due to the demand of high computational speed for processing big data that requires complex data manipulations in a timely manner, the need for extending classical logic to construct new multi-valued optical models becomes a challenging and promising research area. This paper establishes a novel octal-valued logic design model with new optical gates construction based on the hypothesis of Light Color State Model to provide an efficient solution to the limitations of computational processing inherent in the electronics computing. We provide new mathematical definitions for both of the binary OR function and the PLUS operation in multi valued logic that… More >

  • Open Access

    EDITORIAL

    Are the spin doctors winning?

    James E. Lock1,2,3

    Congenital Heart Disease, Vol.12, No.6, pp. 697-698, 2017, DOI:10.1111/chd.12548

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Joint Deep Matching Model of OCT Retinal Layer Segmentation

    Mei Yang1, Yuanjie Zheng1, 2, *, Weikuan Jia1, *, Yunlong He3, Tongtong Che1, Jinyu Cong1

    CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1485-1498, 2020, DOI:10.32604/cmc.2020.09940

    Abstract Optical Coherence Tomography (OCT) is very important in medicine and provide useful diagnostic information. Measuring retinal layer thicknesses plays a vital role in pathophysiologic factors of many ocular conditions. Among the existing retinal layer segmentation approaches, learning or deep learning-based methods belong to the state-of-art. However, most of these techniques rely on manual-marked layers and the performances are limited due to the image quality. In order to overcome this limitation, we build a framework based on gray value curve matching, which uses depth learning to match the curve for semi-automatic segmentation of retinal layers from OCT. The depth convolution network… More >

  • Open Access

    ARTICLE

    Machine Learning Model Comparison for Automatic Segmentation of Intracoronary Optical Coherence Tomography and Plaque Cap Thickness Quantification

    Caining Zhang1, Xiaopeng Guo2, Xiaoya Guo3, David Molony4, Huaguang Li2, Habib Samady4, Don P. Giddens4,5, Lambros Athanasiou6, Dalin Tang1*,7, Rencan Nie2,*, Jinde Cao8

    CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.2, pp. 631-646, 2020, DOI:10.32604/cmes.2020.09718

    Abstract Optical coherence tomography (OCT) is a new intravascular imaging technique with high resolution and could provide accurate morphological infor￾mation for plaques in coronary arteries. However, its segmentation is still com￾monly performed manually by experts which is time-consuming. The aim of this study was to develop automatic techniques to characterize plaque components and quantify plaque cap thickness using 3 machine learning methods including convolutional neural network (CNN) with U-Net architecture, CNN with Fully convolutional DenseNet (FC-DenseNet) architecture and support vector machine (SVM). In vivo OCT and intravascular ultrasound (IVUS) images were acquired from two patients at Emory University with informed consent… More >

  • Open Access

    ARTICLE

    Immune strategies of phagoctytic cells stimulated in vitro with live and heat-inactivated Streptococcus pyogenes

    Agustín César MÖHLINGERa, Virginia Paula SIFFREDIa, Serenela CHULIBERTa, Adriana PONESSAb, Rodolfo David NOTARIOb, Diana Graciela DLUGOVITZKYa

    BIOCELL, Vol.37, No.3, pp. 63-69, 2013, DOI:10.32604/biocell.2013.37.063

    Abstract Streptococcus pyogenes (group A Streptococcus) is frequently involved in a wide range of human diseases. Here we evaluated polymorphonuclear neutrophils and mononuclear cells from healthy subjects for their bactericidal function after stimulation with live and inactivated Streptococcus pyogenes (Streptococcus Group A). Mononuclear cells and Neutrophils were isolated from heparinized blood samples (n=18) using a Ficoll-Hypaque gradient and cultured in RPMI 1640 for 18 hours with a suspension of either live or inactivated Streptococcus pyogenes. Both the respiratory burst (flow cytometry) and nitrite, TNF and IL17 production (ELISA) were measured in the cell culture supernatants. An increased respiratory burst (expressed as… More >

  • Open Access

    ARTICLE

    Control of seedling damping off caused by Rhizoctonia solani and Sclerotium rolfsii using onion broths

    Rivera MC1, ER Wright1, MC Fabrizio2, G Freixá1, R Cabalini1, SE Lopez3

    Phyton-International Journal of Experimental Botany, Vol.82, pp. 227-234, 2013, DOI:10.32604/phyton.2013.82.227

    Abstract Damping off is a frequent disease that kills seedlings. Cultural and biological controls are the only tools in organic crops to manage this disease, and only empirical information is available on the efficiency of plant preparations. This work evaluates the effects of fermented onion decoctions on the growth of Rhizoctonia solani and Sclerotium rolfsii and disease incidence. Broth (B) and sterilized broth (SB) were respectively obtained by boiling chopped yellow onions in water, and incubating for 14 days at room temperature, with or without subsequent sterilization. The pathogens were grown on potato dextrose agar supplemented with B and SB, diluted… More >

  • Open Access

    ARTICLE

    Antifungal potential of Bacillus spp. strains and Larrea tridentata extract against Rhizoctonia solani on potato (Solanum tuberosum L.) crop

    Hernández-Castillo1 FD, RH Lira-Saldivar2, L Cruz-Chávez1, G Gallegos-Morales1, ME Galindo-Cepeda1, E Padrón-Corral1, M Hernández-Suárez2

    Phyton-International Journal of Experimental Botany, Vol.77, pp. 241-252, 2008, DOI:10.32604/phyton.2008.77.241

    Abstract Potato crop requires more fungicides than any other crop in Mexico to prevent and control several diseases. More than 21,3% of the total available fungicides are required for cropping potato. High quantities of synthetic pesticides are intended to control Phytophthora infestans and Rhizoctonia solani fungi. As a result, this produces severe health problems and ecosystem disturbances. There is then an urgent need for finding new options for sustainable management of potato crop diseases. Several experiments were conducted under laboratory, greenhouse, and field conditions, to: (1) analyze the antifungal effect of bacteria strains of the genus Bacillus, and their effect on… More >

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